An effective chip implementation of a real-time eight-channel EEG signal processor based on on-line recursive ICA algorithm
Wei-Yeh Shih, Kuan‐Ju Huang, Chiu-Kuo Chen, Wai-Chi Fang, Gert Cauwenberghs, Tzyy‐Ping Jung · 2012
This paper presents an effective chip implementation of a real-time eight-channel electroencephalogram signal processor based on on-line recursive independent component analysis (ORICA) algorithm. The system architecture is composed of a memory unit, a whitening unit, an ORICA training unit, and an ORICA computation unit. The proposed architecture is implemented using TSMC 90 nm CMOS technology. It occupies a core area of 800×800 μm2and consumes 4.18 mW at a core supply voltage of 1.0 V and 50 MHz clock operating frequency. Simulated super and sub-Gaussian signals are used to verify the system. The separated signals match those obtained using off-line Matlab-based analysis.